| 0 (N=52) |
0.25 (N=72) |
0.5 (N=60) |
0.75 (N=49) |
1 (N=51) |
Overall (N=284) |
|
|---|---|---|---|---|---|---|
| age | ||||||
| Mean (SD) | 35.4 (13.7) | 36.1 (12.7) | 33.9 (12.2) | 37.7 (13.7) | 36.9 (10.7) | 35.9 (12.6) |
| Median [Min, Max] | 32.0 [18.0, 72.0] | 34.0 [18.0, 75.0] | 33.0 [18.0, 71.0] | 36.0 [20.0, 71.0] | 35.0 [20.0, 62.0] | 34.0 [18.0, 75.0] |
| race | ||||||
| American Indian or Alaska Native | 1 (1.9%) | 1 (1.4%) | 2 (3.3%) | 1 (2.0%) | 0 (0%) | 5 (1.8%) |
| Asian | 6 (11.5%) | 6 (8.3%) | 8 (13.3%) | 3 (6.1%) | 6 (11.8%) | 29 (10.2%) |
| Black or African-American | 5 (9.6%) | 5 (6.9%) | 4 (6.7%) | 6 (12.2%) | 1 (2.0%) | 21 (7.4%) |
| Hispanic/Latinx | 3 (5.8%) | 5 (6.9%) | 5 (8.3%) | 2 (4.1%) | 1 (2.0%) | 16 (5.6%) |
| White | 37 (71.2%) | 53 (73.6%) | 41 (68.3%) | 37 (75.5%) | 41 (80.4%) | 209 (73.6%) |
| Native Hawaiian or Other Pacific Islander | 0 (0%) | 1 (1.4%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (0.4%) |
| Other | 0 (0%) | 1 (1.4%) | 0 (0%) | 0 (0%) | 2 (3.9%) | 3 (1.1%) |
| gender | ||||||
| Man | 20 (38.5%) | 23 (31.9%) | 19 (31.7%) | 18 (36.7%) | 24 (47.1%) | 104 (36.6%) |
| Woman | 32 (61.5%) | 46 (63.9%) | 40 (66.7%) | 29 (59.2%) | 23 (45.1%) | 170 (59.9%) |
| Non-binary | 0 (0%) | 2 (2.8%) | 1 (1.7%) | 1 (2.0%) | 2 (3.9%) | 6 (2.1%) |
| Prefer not to answer | 0 (0%) | 1 (1.4%) | 0 (0%) | 1 (2.0%) | 2 (3.9%) | 4 (1.4%) |
| 0 (N=4) |
0.25 (N=6) |
0.5 (N=2) |
0.75 (N=2) |
1 (N=3) |
Overall (N=17) |
|
|---|---|---|---|---|---|---|
| age | ||||||
| Mean (SD) | 35.3 (9.46) | 39.0 (21.8) | 35.5 (4.95) | 51.5 (21.9) | 44.7 (26.3) | 40.2 (17.7) |
| Median [Min, Max] | 31.5 [29.0, 49.0] | 29.5 [24.0, 82.0] | 35.5 [32.0, 39.0] | 51.5 [36.0, 67.0] | 40.0 [21.0, 73.0] | 34.0 [21.0, 82.0] |
| race | ||||||
| White | 4 (100%) | 5 (83.3%) | 1 (50.0%) | 2 (100%) | 2 (66.7%) | 14 (82.4%) |
| Asian | 0 (0%) | 1 (16.7%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (5.9%) |
| Black or African-American | 0 (0%) | 0 (0%) | 1 (50.0%) | 0 (0%) | 1 (33.3%) | 2 (11.8%) |
| gender | ||||||
| Man | 1 (25.0%) | 1 (16.7%) | 1 (50.0%) | 1 (50.0%) | 1 (33.3%) | 5 (29.4%) |
| Woman | 3 (75.0%) | 4 (66.7%) | 1 (50.0%) | 1 (50.0%) | 2 (66.7%) | 11 (64.7%) |
| Another gender not listed here | 0 (0%) | 1 (16.7%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (5.9%) |
Analysis of Deviance Table (Type II Wald chisquare tests)
Response: corrresp
Chisq Df Pr(>Chisq)
opinion_round 155.5722 1 < 2.2e-16 ***
Deviant_threshold 29.9063 4 5.114e-06 ***
opinion_round:Deviant_threshold 1.8352 4 0.766
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 1 opinion_round.trend SE df asymp.LCL asymp.UCL z.ratio p.value
overall 0.186 0.0152 Inf 0.157 0.216 12.282 <.0001
Results are averaged over the levels of: Deviant_threshold
Confidence level used: 0.95 $emmeans
Deviant_threshold emmean SE df asymp.LCL asymp.UCL z.ratio p.value
0 1.59 0.1099 Inf 1.374 1.80 14.461 <.0001
0.25 1.04 0.0906 Inf 0.864 1.22 11.494 <.0001
0.5 1.01 0.0993 Inf 0.813 1.20 10.147 <.0001
0.75 1.02 0.1099 Inf 0.807 1.24 9.303 <.0001
1 1.15 0.1080 Inf 0.943 1.37 10.692 <.0001
Results are given on the logit (not the response) scale.
Confidence level used: 0.95
$contrasts
contrast estimate SE df asymp.LCL
Deviant_threshold0 - Deviant_threshold0.25 0.5479 0.142 Inf 0.1611
Deviant_threshold0 - Deviant_threshold0.5 0.5816 0.147 Inf 0.1795
Deviant_threshold0 - Deviant_threshold0.75 0.5663 0.155 Inf 0.1440
Deviant_threshold0 - Deviant_threshold1 0.4345 0.153 Inf 0.0161
Deviant_threshold0.25 - Deviant_threshold0.5 0.0337 0.134 Inf -0.3314
Deviant_threshold0.25 - Deviant_threshold0.75 0.0185 0.142 Inf -0.3688
Deviant_threshold0.25 - Deviant_threshold1 -0.1134 0.140 Inf -0.4964
Deviant_threshold0.5 - Deviant_threshold0.75 -0.0153 0.148 Inf -0.4180
Deviant_threshold0.5 - Deviant_threshold1 -0.1471 0.146 Inf -0.5457
Deviant_threshold0.75 - Deviant_threshold1 -0.1318 0.154 Inf -0.5508
asymp.UCL z.ratio p.value
0.935 3.864 0.0011
0.984 3.945 0.0008
0.989 3.658 0.0024
0.853 2.832 0.0373
0.399 0.252 0.9991
0.406 0.130 0.9999
0.270 -0.807 0.9284
0.387 -0.103 1.0000
0.252 -1.007 0.8525
0.287 -0.858 0.9120
Results are given on the log odds ratio (not the response) scale.
Confidence level used: 0.95
Conf-level adjustment: tukey method for comparing a family of 5 estimates
P value adjustment: tukey method for comparing a family of 5 estimates Type III Analysis of Variance Table with Satterthwaite's method
Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
targetpair 334 334 1 284 1.6629 0.1983
Deviant_threshold 33776 33776 1 284 168.2303 <2e-16 ***
targetpair:Deviant_threshold 45254 45254 1 284 225.3989 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1$emtrends
targetpair Deviant_threshold.trend SE df lower.CL upper.CL t.ratio p.value
DN -62.2667 3.45 284 -69.05 -55.48 -18.057 <.0001
NN 0.0141 2.87 284 -5.63 5.66 0.005 0.9961
Degrees-of-freedom method: satterthwaite
Confidence level used: 0.95
$contrasts
contrast estimate SE df lower.CL upper.CL t.ratio p.value
DN - NN -62.3 4.15 284 -70.4 -54.1 -15.013 <.0001
Degrees-of-freedom method: satterthwaite
Confidence level used: 0.95 Analysis of Variance Table
Response: k
Df Sum Sq Mean Sq F value Pr(>F)
Deviant_threshold 4 23.943 5.9857 16.327 4.967e-12 ***
Residuals 279 102.283 0.3666
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1$emmeans
Deviant_threshold emmean SE df lower.CL upper.CL t.ratio p.value
0 1.61 0.0840 279 1.44 1.78 19.178 <.0001
0.25 1.66 0.0714 279 1.51 1.80 23.198 <.0001
0.5 1.87 0.0782 279 1.72 2.02 23.930 <.0001
0.75 2.12 0.0865 279 1.95 2.29 24.471 <.0001
1 2.40 0.0848 279 2.24 2.57 28.348 <.0001
Confidence level used: 0.95
$contrasts
contrast estimate SE df lower.CL
Deviant_threshold0 - Deviant_threshold0.25 -0.0451 0.110 279 -0.348
Deviant_threshold0 - Deviant_threshold0.5 -0.2603 0.115 279 -0.575
Deviant_threshold0 - Deviant_threshold0.75 -0.5064 0.121 279 -0.837
Deviant_threshold0 - Deviant_threshold1 -0.7932 0.119 279 -1.121
Deviant_threshold0.25 - Deviant_threshold0.5 -0.2152 0.106 279 -0.506
Deviant_threshold0.25 - Deviant_threshold0.75 -0.4613 0.112 279 -0.769
Deviant_threshold0.25 - Deviant_threshold1 -0.7481 0.111 279 -1.052
Deviant_threshold0.5 - Deviant_threshold0.75 -0.2461 0.117 279 -0.566
Deviant_threshold0.5 - Deviant_threshold1 -0.5329 0.115 279 -0.850
Deviant_threshold0.75 - Deviant_threshold1 -0.2868 0.121 279 -0.619
upper.CL t.ratio p.value
0.2575 -0.409 0.9941
0.0547 -2.269 0.1581
-0.1754 -4.201 0.0003
-0.4656 -6.647 <.0001
0.0754 -2.033 0.2528
-0.1534 -4.114 0.0005
-0.4439 -6.751 <.0001
0.0740 -2.111 0.2183
-0.2163 -4.621 0.0001
0.0458 -2.368 0.1273
Confidence level used: 0.95
Conf-level adjustment: tukey method for comparing a family of 5 estimates
P value adjustment: tukey method for comparing a family of 5 estimates Deviant_threshold emmean SE df null t.ratio p.value
0 1.61 0.0840 279 2 -4.642 <.0001
0.25 1.66 0.0714 279 2 -4.830 <.0001
0.5 1.87 0.0782 279 2 -1.656 0.0494
0.75 2.12 0.0865 279 2 1.349 0.9108
1 2.40 0.0848 279 2 4.759 1.0000
P values are left-tailed Analysis of Variance Table
Response: confidence
Df Sum Sq Mean Sq F value Pr(>F)
deviance 4 6957 1739.34 2.4753 0.04459 *
Residuals 279 196044 702.67
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1$emmeans
deviance emmean SE df lower.CL upper.CL t.ratio p.value
0 60.3 3.68 279 53.1 67.6 16.411 <.0001
0.25 56.1 3.12 279 50.0 62.3 17.961 <.0001
0.5 53.2 3.42 279 46.5 59.9 15.546 <.0001
0.75 48.4 3.79 279 40.9 55.8 12.778 <.0001
1 46.1 3.71 279 38.8 53.4 12.419 <.0001
Confidence level used: 0.95
$contrasts
contrast estimate SE df lower.CL upper.CL t.ratio
deviance0 - deviance0.25 4.22 4.82 279 -9.030 17.5 0.874
deviance0 - deviance0.5 7.13 5.02 279 -6.663 20.9 1.419
deviance0 - deviance0.75 11.94 5.28 279 -2.552 26.4 2.262
deviance0 - deviance1 14.23 5.22 279 -0.115 28.6 2.724
deviance0.25 - deviance0.5 2.91 4.63 279 -9.811 15.6 0.628
deviance0.25 - deviance0.75 7.72 4.91 279 -5.756 21.2 1.573
deviance0.25 - deviance1 10.01 4.85 279 -3.308 23.3 2.064
deviance0.5 - deviance0.75 4.81 5.10 279 -9.202 18.8 0.943
deviance0.5 - deviance1 7.10 5.05 279 -6.760 21.0 1.407
deviance0.75 - deviance1 2.29 5.30 279 -12.270 16.8 0.432
p.value
0.9063
0.6159
0.1604
0.0530
0.9704
0.5158
0.2388
0.8799
0.6239
0.9927
Confidence level used: 0.95
Conf-level adjustment: tukey method for comparing a family of 5 estimates
P value adjustment: tukey method for comparing a family of 5 estimates | 0 (N=52) |
0.25 (N=72) |
0.5 (N=60) |
0.75 (N=49) |
1 (N=51) |
Overall (N=284) |
|
|---|---|---|---|---|---|---|
| pred_maj | ||||||
| Yes | 46 (88.5%) | 56 (77.8%) | 43 (71.7%) | 41 (83.7%) | 39 (76.5%) | 225 (79.2%) |
| No | 6 (11.5%) | 16 (22.2%) | 17 (28.3%) | 8 (16.3%) | 12 (23.5%) | 59 (20.8%) |
Analysis of Variance Table
Response: confidence
Df Sum Sq Mean Sq F value Pr(>F)
deviance 4 6957 1739.3 2.5929 0.036928 *
pred_maj 1 10078 10077.5 15.0227 0.000133 ***
deviance:pred_maj 4 2162 540.5 0.8058 0.522346
Residuals 274 183805 670.8
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1| 0 (N=284) |
1 (N=284) |
2 (N=284) |
3 (N=284) |
4 (N=284) |
5 (N=284) |
6 (N=284) |
7 (N=284) |
Overall (N=2272) |
|
|---|---|---|---|---|---|---|---|---|---|
| trialnum | |||||||||
| 0 | 45 (15.8%) | 28 (9.9%) | 41 (14.4%) | 45 (15.8%) | 39 (13.7%) | 29 (10.2%) | 32 (11.3%) | 32 (11.3%) | 291 (12.8%) |
| 1 | 32 (11.3%) | 31 (10.9%) | 30 (10.6%) | 43 (15.1%) | 46 (16.2%) | 46 (16.2%) | 35 (12.3%) | 43 (15.1%) | 306 (13.5%) |
| 2 | 39 (13.7%) | 43 (15.1%) | 42 (14.8%) | 30 (10.6%) | 39 (13.7%) | 37 (13.0%) | 40 (14.1%) | 28 (9.9%) | 298 (13.1%) |
| 3 | 26 (9.2%) | 34 (12.0%) | 30 (10.6%) | 33 (11.6%) | 28 (9.9%) | 37 (13.0%) | 46 (16.2%) | 36 (12.7%) | 270 (11.9%) |
| 4 | 31 (10.9%) | 40 (14.1%) | 32 (11.3%) | 41 (14.4%) | 33 (11.6%) | 41 (14.4%) | 32 (11.3%) | 40 (14.1%) | 290 (12.8%) |
| 5 | 47 (16.5%) | 31 (10.9%) | 37 (13.0%) | 31 (10.9%) | 28 (9.9%) | 29 (10.2%) | 36 (12.7%) | 22 (7.7%) | 261 (11.5%) |
| 6 | 32 (11.3%) | 36 (12.7%) | 37 (13.0%) | 29 (10.2%) | 35 (12.3%) | 29 (10.2%) | 30 (10.6%) | 41 (14.4%) | 269 (11.8%) |
| 7 | 32 (11.3%) | 41 (14.4%) | 35 (12.3%) | 32 (11.3%) | 36 (12.7%) | 36 (12.7%) | 33 (11.6%) | 42 (14.8%) | 287 (12.6%) |